Efficient Power Management in Hybrid Electric Vehicles for Sustainable Transportation
DOI:
https://doi.org/10.61453/INTIj.20260103Keywords:
Hybrid Electric Vehicle, Regenerative Braking, Fuel consumption, Carbon Emissions, Energy efficiencyAbstract
This study presents a simulation-based investigation into efficient power management strategies for hybrid electric vehicles (HEVs) featuring regenerative braking systems (RBS), with a focus on their contribution to the United Nations Sustainable Development Goals (SDGs). Regenerative braking allows for the recovery of kinetic energy during deceleration by converting mechanical energy into electrical energy, which is subsequently stored in the vehicle’s battery system. This not only improves overall energy efficiency but also significantly reduces fuel consumption, carbon emissions, and brake system wear. To achieve maximum energy recovery without compromising safety, the RBS must function within minimal braking distances while ensuring smooth integration with conventional braking mechanisms. Through extensive simulations, this study evaluates a range of control strategies that coordinate regenerative and traditional power systems to enhance overall vehicle performance and energy efficiency. The results highlight the potential of intelligent energy management systems to improve the sustainability and economic viability of HEVs. These findings contribute directly to SDG7 (Affordable and Clean Energy) by promoting more efficient energy use and reducing reliance on fossil fuels. Additionally, the implementation of regenerative braking supports SDG13 (Climate Action) by lowering greenhouse gas emissions and advancing clean mobility solutions
References
Abhinav. K. & Gowtham. (2022). Hybrid sources powered electric vehicle configuration and integrated optimal power management strategy. IEEE Access, vol.10, 121684. https://doi.org/10.1109/ACCESS.2022.3217771
Amit kumer, Oishikha Chakraborty, & Sayemul Islam (2021). Control strategies of different
hybrid energy storage systems for electric vehicles applications—A review. IEEE Access,
vol. 9, 51865–51866.https://doi.org/10.1109/ACCESS.2021.3069593
Anubhav Agrawal, & Ranbir Singh. (2023). Mathematical modeling of driving forces of an electric vehicle for sustainable operation. IEEE Access, vol. 11. https://doi.org/10.1109/ACCESS.2023.3309728
Binhao Liu, & Liang Li. (2018). Hybrid electric vehicle downshifting strategy based on stochastic dynamic programming during regenerative braking process. IEEE Transaction on Vehicular Technology, 6(67), 4716. https://doi.org/10.1109/TVT.2018.2815518
Hamed Bizhani, & S.M. Muyeen. (2019). Dual mechanical port machine based hybrid electric vehicle using reduced switch converters. IEEE Access, vol.7, 33665. https://doi.org/10.1109/ACCESS.2019.2903765
Mayank Gupta. (2020). Evaluation of regenerative braking and its functionality in electric vehicle. In IEEE Explore (International Conference for Emerging Technology, Belgaum, India). https://doi.org/10.1109/INCET49848.2020.9154047
Qiao Zhang, & Yexin Zhang.(2022). Modeling of regenerative braking energy for electric multiple units passing long downhill section. IEEE Transaction on Transportation electrification, 8(3), 3742-3743. https://doi.org/10.1109/TTE.2022.3169901
Qiwei Xu, & Fukang wanng. (2019). Research on the efficiency optimization control of the regenerative braking system of hybrid electrical vehicle based on electrical variable transmission. IEEE Access., vol. 7, 116823.https://doi.org/10.1109/ACCESS.2019.2936370
Tako Nama, & Praveen Thipathy. (2022). Design modeling and hardware implementation of regenerative braking for electric two wheelers for hilly roads. IEEE Access., vol. 10, no. 6, pp. 130602.https://doi.org/10.1109/ACCESS.2022.3229597
Warunchit Chueprasert, & Danai Phaoharuhansa. (2020). Study of regenerative braking system and brake force using pulse width module. In MATEC Web of Conference proceedings. https://doi.org/10.1051/matecconf/202030601004
Xuezhou Wang, & Udai Shipurkar. (2021). Sizing and control of a hybrid ship propulsion system using multi-objective double-layer optimization. IEEE Access, vol.9. https://doi.org/10.1109/ACCESS.2021.3080195
Zhengwei Ma, & Daxu Sun. (2020). Energy recovery strategy based on ideal braking force distribution for regenerative braking system of a four wheel drive electric vehicle. IEEE Access, vol.8 pp. 136234.https://doi.org/10.1109/ACCESS.2020.3011563
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 INTI Journal
This work is licensed under a Creative Commons Attribution 4.0 International License.
